Products

A simple NAS gateway for end users and applications which provides a secure, POSIX compliant, local NFS interface for cloud storage.

Manage all your employees' email signatures from one single place. Design and manage email signatures for all your employees with ease using a powerful and user-friendly interface. Create templates to manage entities, groups, and users and spread your marketing campaigns to reinforce your corporate image. Precisely analyze the commitment of your audience with insightful campaign data.

eFlyerMaker is an email marketing software with AI module that uses predictive algorythms.

Get real-time insight into your workforce-on-premise in the cloud to better predict and plan for employee demands and more.

ManageWP gives you the power to automate the management of any number of WordPress sites

Equip talent professionals with the power of predictive intelligence. Hire better people, faster, with less bias.

PayPal Payments is a comprehensive payment processing solution designed to empower businesses of all sizes to accept payments seamlessly from customers worldwide. By integrating PayPal Payments, merchants can offer a variety of payment options, enhancing the checkout experience and potentially increasing conversion rates. Key Features and Functionality: - Global Payment Acceptance: Supports transactions in over 200 markets and 140 currencies, enabling businesses to cater to a diverse cus

Oracle Warehouse Builder is a single, comprehensive tool for all aspects of data integration. Warehouse Builder leverages Oracle Database to transform data into high-quality information. It provides data quality, data auditing, fully integrated relational and dimensional modeling, and full lifecycle management of data and metadata. Warehouse Builder enables you to create data warehouses, migrate data from legacy systems, consolidate data from disparate data sources, clean and transform data to p

Lead Onion is an AI-powered intent data platform designed to revolutionize B2B sales and marketing by providing real-time insights into buyer behavior. By analyzing billions of signals from 24 top intent providers, Lead Onion identifies in-market buyers, enabling sales teams to focus their efforts on prospects ready to purchase. This comprehensive approach streamlines prospecting, reduces sales cycles, and enhances overall sales efficiency. Key Features and Functionality: - Multi-Layered Inten

Palantir Gotham serves as an enterprise knowledgebase, containing the full record of an organization's collective analysis.

Google Workspace enables teams of all sizes to connect, create and collaborate. It includes productivity and collaboration tools for all the ways that we work: Gmail for custom business email, Drive for cloud storage, Docs for word processing, Meet for video and voice conferencing, Chat for team messaging, Slides for presentation building, shared Calendars, and many more.

The Actian Cloud Edition offers Actian DataConnect (previously Pervasive Data Integrator Cloud) – a fast, powerful, cost-effective and easy-to-use data integration tool.

Commodities Artificial Intelligence. We empower our customers to turn the threat of price volatility into an opportunity. Improve outcomes for your business with impartial raw materials price predictions extracted from all of the data that matters. Import our data into SAP Analytics Cloud.

The "Predicting Diabetes Onset" solution is a machine learning-based tool designed to forecast the likelihood of an individual developing diabetes. By analyzing various health metrics and patient data, it provides early warnings, enabling timely interventions to prevent or delay the onset of diabetes. Key Features and Functionality: - Machine Learning Algorithms: Utilizes advanced machine learning models to analyze patient data and predict diabetes risk. - Data Integration: Combines multiple

Damaged Shipment Prediction analyzes images of shipment packages and predicts with whether they are damaged or not.

The "Predicting Asthma Admissions" solution leverages advanced machine learning algorithms to forecast asthma-related hospital admissions by analyzing environmental factors, patient demographics, and historical health data. This predictive capability enables healthcare providers to proactively manage resources and implement targeted interventions, ultimately improving patient outcomes and reducing healthcare costs. Key Features and Functionality: - Data Integration: Combines diverse datasets,

ClosedLoop's Predicting ED Utilization solution leverages advanced artificial intelligence and machine learning to identify individuals at high risk of avoidable emergency department (ED) visits. By analyzing diverse healthcare data sources, the platform provides accurate, explainable, and actionable predictions, enabling healthcare organizations to proactively intervene and reduce unnecessary ED utilization. Key Features and Functionality: - Data Integration: Ingests, normalizes, and bl

The Freight Cost Prediction solution is designed to help businesses in the transportation and logistics sector accurately forecast shipping expenses. By leveraging machine learning models, this tool analyzes various factors such as shipment mode, weight, and delivery timelines to provide precise cost estimations. This enables companies to optimize their logistics operations, manage budgets effectively, and enhance overall supply chain efficiency. Key Features and Functionality: - Data Integrat

The "Predicting Hypertension Onset" solution leverages advanced machine learning techniques to analyze longitudinal electronic health records (EHRs and predict the onset of hypertension. By integrating deep learning models, particularly Long Short-Term Memory (LSTM networks, this tool processes temporal sequences of patient data to identify patterns indicative of future hypertension development. This predictive capability enables healthcare providers to implement early interventions, potentially

Effective scheduling for hospital admission is a major challenge as there is uncertainty in patient’s length of stay and large errors in estimations can lead to capacity pressures. To tackle this, Virtusa-GCTS has developed a Deep Learning based solution which will accurately predict how long a newly admitted patient will stay in the hospital. The model uses cutting edge regression algorithms. This model not only helps Hospitals to plan and deploy their resources effectively but also helps insur